76 citations · 76 across the 1 of their papers we have counts for
2 papers
cs.LG2025
Meta-learning how to Share Credit among Macro-Actions
Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu
One proposed mechanism to improve exploration in reinforcement learning is through the use of macro-actions. Paradoxically though, in many scenarios the naive addition of macro-act…
cs.AI2016★ 76 cited
Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay
Ionel-Alexandru Hosu, Traian Rebedea
This paper introduces a novel method for learning how to play the most difficult Atari 2600 games from the Arcade Learning Environment using deep reinforcement learning. The propos…